An Evolutionary Immune Network for Data Clustering
SBRN '00 Proceedings of the VI Brazilian Symposium on Neural Networks (SBRN'00)
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In this article we have presented a mechanism of antigen transformation as it occurs in the natural system. Using this mechanism as a base the article has defined paradigms which were used to determine the architecture of the decentralized artificial immune network. The achievements results have been shown that the proposed learning mechanisms and the decentralized architecture consisting of computational nodes is calibrated and it can be successfully used in the distributed computational environments such as Grid and Clusters systems.